AI Ethics & Governance: Master Responsible AI, Regulatory Compliance, Ethical Frameworks & Risk Management
Sub Category
- IT Certifications
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Objectives
- Understand fundamental principles of AI ethics, including fairness, accountability, and transparency.
- Analyze and mitigate ethical risks and biases inherent in AI systems and data.
- Develop and implement robust AI governance frameworks within organizations.
- Navigate the evolving global regulatory landscape for AI, including major acts and guidelines.
- Conduct ethical impact assessments for AI projects throughout their lifecycle.
- Formulate strategies for ensuring AI system transparency and explainability.
- Establish mechanisms for AI accountability and redress for adverse impacts.
- Design and manage privacy-preserving AI systems in compliance with data protection laws.
- Advise on best practices for responsible AI innovation and deployment.
- Engage stakeholders in discussions on AI ethics and foster a culture of responsible AI.
- Apply ethical frameworks to real-world AI challenges and decision-making.
- Identify emerging ethical dilemmas in advanced AI technologies like Generative AI.
Pre Requisites
- A basic understanding of Artificial Intelligence (AI) and Machine Learning (ML) concepts.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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